Decoding Invisible 3D Printed Tags with Convolutional Neural Networks
Imperceptible tags embedded on three-dimensional (3D) objects have recently shown promising utility in applications such as augmented and virtual reality interactions, tracking logistics, and robotics. The InfraredTag is a newly developed tag that is imperceptible to the eye and can be 3D-printed as...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/147528 |